@indutny/bencher - npm Package Compare versions

Comparing version 1.1.1 to 1.1.2

dist/bin/bencher.js

@@ -33,2 +33,11 @@ #!/usr/bin/env node
 const helpers_1 = require("yargs/helpers");
+// ANSI colors
+const BOLD = 1;
+const ITALIC = 3;
+// Go back to previous line, clear the line
+const PREV_LINE = '\x1b[F\x1b[K';
+// t-distribution value for large sample count and p=0.001
+// https://www.itl.nist.gov/div898/handbook/eda/section3/eda3672.htm
+const STUDENT_T = 3.09;
+const P_VALUE = 0.001;
 async function main() {
@@ -91,4 +100,11 @@ const argv = await (0, yargs_1.default)((0, helpers_1.hideBin)(process.argv))
     }));
+    const maxNameLength = modules.reduce((len, { name }) => Math.max(len, name.length), 0);
     for (const m of modules) {
-        run(m);
+        const paddedName = m.name + ' '.repeat(maxNameLength - m.name.length);
+        process.stdout.write(`${style(paddedName, BOLD)}: running...\n`);
+        const { ops, maxError, usedSamples } = run(m);
+        process.stdout.write(PREV_LINE);
+        process.stdout.write(`${style(paddedName, BOLD)}: ${ops.toFixed(1)} ops/s ` +
+            style(`(±${maxError.toFixed(1)}, p=${P_VALUE}, n=${usedSamples})`, ITALIC) +
+            '\n');
     }
@@ -104,10 +120,13 @@ }
     }
-    const { beta, c95, outliers } = regress(m, samples);
+    const { beta, confidence, outliers } = regress(m, samples);
     const ops = 1 / beta;
-    const lowOps = 1 / (beta + c95);
-    const highOps = 1 / (beta - c95);
+    const lowOps = 1 / (beta + confidence);
+    const highOps = 1 / (beta - confidence);
     const maxError = Math.max(highOps - ops, ops - lowOps);
     const usedSamples = samples.length - outliers;
-    console.log(`${m.name}: ${ops.toFixed(1)} ops/s ` +
-        `(±${maxError.toFixed(1)}, p=0.05, n=${usedSamples})`);
+    return {
+        ops,
+        maxError,
+        usedSamples,
+    };
 }
@@ -201,11 +220,12 @@ function warmUp(m) {
     stdError = Math.sqrt(stdError);
-    // t-distribution value for large sample count and p=0.05
-    const T_VALUE = 1.9719;
     return {
         alpha,
         beta,
-        c95: T_VALUE * stdError,
+        confidence: STUDENT_T * stdError,
         outliers: samples.length - withoutOutliers.length,
     };
 }
+function style(text, code) {
+    return `\x1b[${code}m${text}\x1b[m`;
+}
 main().catch((err) => {
@@ -212,0 +232,0 @@ console.error(err);

package.json

 {
   "name": "@indutny/bencher",
-  "version": "1.1.1",
+  "version": "1.1.2",
   "description": "Simple benchmarking tool",
@@ -5,0 +5,0 @@ "bin": {

No alert changes

Improved metrics

Total package byte prevSize

11871

increased by7.08%

Lines of code

230

increased by9.52%

No dependency changes